Seedance 2.5 Spicy Image to Video is a fast AI image-to-video generation model that creates high-quality cinematic clips from images, optimized for scalable content generation with smooth animations and stable aesthetics. Ready-to-use REST inference API for animating images, social media clips, product videos, advertising creatives, visual storytelling, and professional image-to-video workflows with simple integration, no coldstarts, and affordable pricing.
Idle
$0.81per run·~12 / $10
ExamplesView all
A Hollywood cinematic action scene, ultra realistic IMAX movie style. A female character holds a handgun in a tense close-up shot. The camera focuses on her face and hands with shallow depth of field and cinematic background blur. She slowly pulls the trigger. At the exact moment the trigger is pressed, time shifts into extreme slow motion. The handgun creates a realistic recoil movement, a brief muzzle flash and a small cloud of smoke. The bullet leaves the barrel at high speed, disturbing dust particles and air around it. The camera transitions into a bullet-time perspective, following the bullet flying through the air with realistic motion blur and cinematic detail. The scene then returns to normal speed. The character remains focused, holding her position as the smoke slowly disappears. Hollywood action movie style, realistic slow motion, bullet time effect, cinematic lighting, shallow depth of field, anamorphic lens, ultra realistic, 8K, dramatic atmosphere.
Related Models
README
Seedance 2.5 Spicy Image-to-Video
Seedance 2.5 Spicy Image-to-Video generates high-quality cinematic videos from images with smooth, expressive motion. It transforms static images into dynamic video with bold movement, rich tonal contrast, stable temporal coherence, and optional synchronized audio.
Why Choose This?
-
Spicy image-to-video generation
Generate expressive cinematic clips from reference images. -
Image-faithful generation
Preserve the reference image's subject identity, composition, lighting, and style while adding motion. -
Optional last-frame guidance
Uselast_imageto guide the final frame or ending direction of the generated video. -
Native audio generation
Generate synchronized audio together with the video output. -
Flexible resolution options
Choose480p,720p,1080p, or4kdepending on quality and cost needs. -
Seed control
Use a fixed seed for reproducible results, or-1for random generation.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Reference image to animate. |
| prompt | No | Describe the desired motion, story, camera behavior, mood, and style. |
| last_image | No | Optional ending frame to guide the final composition. |
| duration | No | Video length in seconds. Range: 4–15. Default: 5. |
| resolution | No | Output resolution: 480p, 720p, 1080p, or 4k. Default: 720p. |
| generate_audio | No | Generate synchronized audio for the output video. Default: true. |
| seed | No | Random seed. Use -1 for a random seed. |
The output aspect ratio follows the input image automatically.
How to Use
- Upload your image — Provide a clear, well-framed reference image.
- Write a prompt optional — Describe the desired motion, mood, camera movement, or scene progression.
- Add last image optional — Use
last_imagewhen you want to guide the final frame. - Select resolution — Choose
480p,720p,1080p, or4k. - Set duration — Choose a video length from
4to15seconds. - Configure audio optional — Keep
generate_audioenabled when synchronized audio is needed. - Set seed optional — Use a fixed seed when you need reproducible results.
- Submit — Generate the final image-to-video output.
Writing Effective Prompts
The input image sets the first frame — your prompt directs what happens from there. The clearer the motion and camera direction, the better the result.
1. Start from the frame
Describe the action that begins from your image: what the subject does, where it goes, how the camera moves. Don't re-describe what's already visible in the image — build on it.
The woman in the photo turns from the window and walks toward the camera; slow push-in, warm interior light.
2. Shot-by-shot timeline
For longer clips, break the motion into timed segments (1-second granularity), continuous, no gaps.
0-2s: She turns from the window, a faint smile forming. Camera holds. 2-5s: She walks toward the lens and stops mid-frame; slow push-in, shallow focus. 5-8s: She glances off-screen as light shifts from warm to cool. Handheld drift.
3. Consistency notes
Lock the look for the whole clip: camera style, lighting, palette, atmosphere, audio.
Camera language
Write these directly; the model understands them:
- Shot size — extreme wide, wide, medium, medium close-up, close-up
- Movement — push in, pull out, pan, track, follow, orbit, tilt up, handheld shake
- Angle — low angle, overhead, eye-level, first-person
- Techniques — one-shot / long take, dolly zoom, bullet time, speed ramp
For a niche term, add a plain-language gloss: "rack focus: the sharp foreground softens as the background comes into focus."
Referencing uploaded assets
When you attach images, videos, or audio, bind each one explicitly in the prompt by its upload order — @image1, @video1, @audio1 — and say what it's for. Don't rely on labels drawn inside the image itself.
- "The knight in @image1 walks through the castle in @image2."
- "Refer to @video1 for the camera movement only; keep its shot order."
- "@image1 and @image2 are Character 1, voiced by @audio1."
When a reference is already accurate, just point to it — no need to re-describe it in detail.
Negative control
Positive descriptions work best, but you can suppress subtitles and audio:
- "No subtitles."
- "No BGM — ambient and action sounds only."
- "No audio."
Weak vs. strong
| prompt | |
|---|---|
| weak | make it move |
| strong | The parked car in the image pulls out and drives down the wet street. 0-3s: headlights flick on, the car eases forward, reflections rippling on the asphalt. 3-6s: it accelerates past the camera, which pans to follow. Low angle, neon reflections, light rain, cinematic night mood. Engine and rain sounds, no music. |
Pricing
Pricing is based on selected resolution and duration.
| Resolution | Per 5s | Per second |
|---|---|---|
| 480p | $0.90 | $0.18 |
| 720p | $1.80 | $0.36 |
| 1080p | $4.50 | $0.90 |
| 4k | $9.00 | $1.80 |
Example Costs
| Resolution | 5s | 10s | 15s | 30s |
|---|---|---|---|---|
| 480p | $0.90 | $1.80 | $2.70 | $5.40 |
| 720p | $1.80 | $3.60 | $5.40 | $10.80 |
| 1080p | $4.50 | $9.00 | $13.50 | $27.00 |
| 4k | $9.00 | $18.00 | $27.00 | $54.00 |
Best Use Cases
- Cinematic image animation — Turn still images into expressive motion clips.
- Character animation — Bring character art, portraits, and illustrated subjects to life.
- Creative storytelling — Generate short cinematic scenes from a single visual reference.
- Social media content — Create vertical, square, or landscape-style motion assets based on the input image ratio.
- Ad creatives — Produce stylized video variants from product, character, or campaign images.
- Motion prototyping — Test camera movement, subject motion, and atmosphere before final production.
Pro Tips
- Use clear, well-lit images with the main subject visible.
- Describe motion, camera movement, lighting, mood, and scene progression in the prompt.
- Use
last_imagewhen the ending frame or final composition matters. - Start with
480por720pand shorter durations for iteration. - Use
1080por4kwhen final output quality matters. - Keep the prompt focused on visible motion and how the scene should evolve over time.
- Use a fixed
seedwhen comparing prompt variations or reproducing similar outputs.
Related Models
- Seedance 2.5 Text-to-Video — Generate video from text prompts alone.
- Seedance 2.5 Video Edit — Edit an existing video with a prompt.
- Seedance 2.5 Video Extend — Extend an existing video with a new segment.
- Seedance 2.0 Image-to-Video — Previous-generation Seedance image-to-video model.
Seedance 2.5 Image To Video Spicy API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/image-to-video-spicy with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance 2.5 Image To Video Spicy below.
HTTP example
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"resolution": "720p",
"duration": 5,
"generate_audio": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/image-to-video-spicy" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d "$REQUEST_BODY")
TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
-H "Authorization: Bearer $WAVESPEED_API_KEY")
RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
case "$STATUS" in
completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneNode.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/image-to-video-spicy";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
async function requestJson(url, options = {}) {
const response = await fetch(url, options);
if (!response.ok) throw new Error(await response.text());
return response.json();
}
// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"resolution": "720p",
"duration": 5,
"generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;
// 2. Poll until the prediction finishes.
while (true) {
const resultBody = await requestJson(resultUrl, {
headers: { "Authorization": `Bearer ${apiKey}` },
});
const result = resultBody.data ?? resultBody;
if (result.status === "completed") {
console.log(result.outputs);
break;
}
if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
await new Promise(resolve => setTimeout(resolve, 2000));
}Python example
import json
import os
import time
from urllib.request import Request, urlopen
api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"resolution": "720p",
"duration": 5,
"generate_audio": True
}
def request_json(url, data=None):
request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
with urlopen(request) as response:
return json.load(response)
# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/image-to-video-spicy", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"
# 2. Poll until the prediction finishes.
while True:
result_body = request_json(result_url)
result = result_body.get("data", result_body)
status = result.get("status")
if status == "completed":
print(result.get("outputs", []))
break
if status in {"failed", "cancelled", "timeout", "deleted"}:
raise RuntimeError(result)
time.sleep(2)Seedance 2.5 Image To Video Spicy API — Frequently asked questions
What is the Seedance 2.5 Image To Video Spicy API?
Seedance 2.5 Image To Video Spicy is a ByteDance model for video generation from images, exposed as a REST API on WaveSpeedAI. Seedance 2.5 Spicy Image to Video is a fast AI image-to-video generation model that creates high-quality cinematic clips from images, optimized for scalable content generation with smooth animations and stable aesthetics. Ready-to-use REST inference API for animating images, social media clips, product videos, advertising creatives, visual storytelling, and professional image-to-video workflows with simple integration, no coldstarts, and affordable pricing. You can call it programmatically or try it from the playground above.
How do I call the Seedance 2.5 Image To Video Spicy API?
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bytedance/bytedance-seedance-2.5-image-to-video-spicy.
How much does Seedance 2.5 Image To Video Spicy cost per run?
Seedance 2.5 Image To Video Spicy starts at $0.81 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
What inputs does Seedance 2.5 Image To Video Spicy accept?
Key inputs: `prompt`, `image`, `resolution`, `duration`, `seed`, `generate_audio`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/bytedance/bytedance-seedance-2.5-image-to-video-spicy.
How long does Seedance 2.5 Image To Video Spicy take to generate?
Reported generation time on WaveSpeedAI is around 221 seconds per request. This is an estimate, not a latency guarantee; queue time and input settings can change the total wait. live status is visible in the prediction record.
Can I use Seedance 2.5 Image To Video Spicy outputs commercially?
Commercial usage rights depend on the model's license, set by its provider (ByteDance). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.